SEI: Cardiovascular Informatics

SEI：心血管信息学

• 批准号: 0431144
• 负责人: Ioannis Kakadiaris
• 金额: $ 56.64万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0431144&HistoricalAwards=false
• 关键词: SEI; Cardiovascular; Informatics

Sudden heart attacks remain the leading cause of death in the US. Heart attacks are caused by complications of "vulnerable plaques." The discovery of vulnerable plaques has recently evolved into the definition of the "vulnerable patient" (VP). A VP is defined as a person with a high likelihood of developing a heart attack in the near future. Since the majority of sudden cardiac deaths occur in people with no prior symptoms, there is an urgent need for computational tools to assist in screening for the conditions that underlie sudden cardiac events. This project is developing the theoretical framework and computational tools for the mining of information from CT and intravascular ultrasound (IVUS) imaging for the detection of VPs. The specific objectives are to: (1) develop new denoising algorithms; (2) develop a new medical image segmentation framework; (3) develop new enhancement quantification techniques; and (4) apply these techniques and evaluate their performance to the problems of CT and IVUS-based detection of VPs. The project's collaborating cardiovascular specialists at the Association for the Eradication of Heart Attack believe that such methods hold the potential to contribute to the development of a quantitative method for early detection and intervention to improve outcomes and increase survival.A new course on Cardiovascular Informatics offered at the undergraduate and graduate levels will allow the integration of this research into education. Outreach materials will be created in collaboration with the Pearland (TX) Independent School District, the Houston Area Technology Advancement Center, and the Houston Museum of Natural Science.

在美国，突然的心脏病发作仍然是死亡的主要原因。心脏病发作是由“脆弱斑块”的并发症引起的。脆弱斑块的发现最近演变为“脆弱患者”（VP）的定义。副总裁被定义为一个在不久的将来发作可能发展心脏病的人。由于大多数心脏死亡发生在没有先前症状的人中，因此迫切需要计算工具来协助筛查突然心脏事件的构成状况。该项目正在开发理论框架和计算工具，用于从CT和血管内超声（IVUS）成像中挖掘以检测VPS的信息。具体目标是：（1）开发新的剥离算法； （2）开发一个新的医疗图像分割框架； （3）开发新的增强定量技术； （4）应用这些技术，并评估其性能在基于CT和IVUS的VPS检测问题上。该项目在消除心脏病发作协会的协作性心血管专家认为，这种方法有可能有助于开发一种定量方法的早期检测和干预措施，以改善结果并提高生存率和增加生存课程，这是一项新的关于研究生级别的心血管信息学课程，可以使这项研究融入教育。外展材料将与Pearland（TX）独立学区，休斯顿地区技术进步中心和休斯顿自然科学博物馆合作创建。